709 citations · 4.7k across the 56 of their papers we have counts for
8 papers · 1 filter
A normalized scaled gradient method to solve non-negativity and equality constrained linear inverse problem - Application to spectral mixture analysis
Céline Theys, Henri Lantéri, Nicolas Dobigeon +3
This paper addresses the problem of minimizing a convex cost function under non-negativity and equality constraints, with the aim of solving the linear unmixing problem encountered…
Joint Bayesian estimation of close subspaces from noisy measurements
Olivier Besson, Nicolas Dobigeon, Jean-Yves Tourneret
In this letter, we consider two sets of observations defined as subspace signals embedded in noise and we wish to analyze the distance between these two subspaces. The latter entai…
Residual component analysis of hyperspectral images -- Application to joint nonlinear unmixing and nonlinearity detection
Yoann Altmann, Nicolas Dobigeon, Steve McLaughlin +1
This paper presents a nonlinear mixing model for joint hyperspectral image unmixing and nonlinearity detection. The proposed model assumes that the pixel reflectances are linear co…
Bayesian Fusion of Multi-Band Images
Qi Wei, Nicolas Dobigeon, Jean-Yves Tourneret
In this paper, a Bayesian fusion technique for remotely sensed multi-band images is presented. The observed images are related to the high spectral and high spatial resolution imag…
Frequency estimation based on Hankel matrices and the alternating direction method of multipliers
Fredrik Andersson, Marcus Carlsson, Jean-Yves Tourneret +1
We develop a parametric high-resolution method for the estimation of the frequency nodes of linear combinations of complex exponentials with exponential damping. We use Kronecker's…
Unsupervised Post-Nonlinear Unmixing of Hyperspectral Images Using a Hamiltonian Monte Carlo Algorithm
Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret
This paper presents a nonlinear mixing model for hyperspectral image unmixing. The proposed model assumes that the pixel reflectances are post-nonlinear functions of unknown pure s…
Nonlinear unmixing of hyperspectral images: models and algorithms
Nicolas Dobigeon, Jean-Yves Tourneret, Cédric Richard +3
When considering the problem of unmixing hyperspectral images, most of the literature in the geoscience and image processing areas relies on the widely used linear mixing model (LM…
Parameter Estimation For Multivariate Generalized Gaussian Distributions
F. Pascal, L. Bombrun, J. Y. Tourneret +1
Due to its heavy-tailed and fully parametric form, the multivariate generalized Gaussian distribution (MGGD) has been receiving much attention for modeling extreme events in signal…